Achieving well-informed decision-making in drug discovery: a comprehensive calibration study using neural network-based structure-activity models. [PDF]
J CheminformFriesacher HR +4 more
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Bregman divergence and density integration
Bregman divergence and density integrationIn this paper, a problem of integrating density functions is considered. First, the Bregman divergence in the space of positive finite measures is introduced, and properties of consistent subspaces and well-behaved parametric models associated with the Bregman divergence is investigated.
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Principal Curves for Statistical Divergences and an Application to Finance. [PDF]
Entropy (Basel), 2018 Rodrigues AFP, Cavalcante CC.
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A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer. [PDF]
Diagnostics (Basel)Teoh CL +6 more
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Information Geometry for Covariance Estimation in Heterogeneous Clutter with Total Bregman Divergence. [PDF]
Entropy (Basel), 2018 Hua X, Cheng Y, Wang H, Qin Y.
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Information Theory Meets Quantum Chemistry: A Review and Perspective. [PDF]
Entropy (Basel)Zhao Y, Zhao D, Rong C, Liu S, Ayers PW.
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Transport information Bregman divergences [PDF]
Information Geometry, 2021 Typos are ...
Wuchen Li, Wuchen Li
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Matrix Nearness Problems with Bregman Divergences [PDF]
SIAM Journal on Matrix Analysis and Applications, 2008 This paper discusses a new class of matrix nearness problems that measure approximation error using a directed distance measure called a Bregman divergence. Bregman divergences offer an important generalization of the squared Frobenius norm and relative entropy, and they all share fundamental geometric properties.
Inderjit S Dhillon, Joel A Tropp
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Curved Representational Bregman Divergences and Their Applications
Lecture Notes in Computer Science33 pages, 11 ...
Frank Nielsen
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On Bregman Distances and Divergences of Probability Measures [PDF]
IEEE Transactions on Information Theory, 2012 12 two-column pages, 2 ...
Wolfgang Stummer, Igor Vajda
exaly +3 more sources